\Header{painters}{The Painter's Data of de Piles}
\keyword{datasets}{painters}
\begin{Description}\relax
The subjective assessment, on a 0 to 20 integer scale, of 54
classical painters.  The painters were assessed on four characteristics:
composition, drawing, colour and expression.  The data is due to the
Eighteenth century art critic, de Piles.\end{Description}
\begin{Usage}
\begin{verbatim}
data(painters)
\end{verbatim}
\end{Usage}
\begin{Format}\relax
The row names of the data frame are the painters. The components are:
\describe{
\item[\code{Composition}] Composition score

\item[\code{Drawing}] Drawing score

\item[\code{Colour}] Colour score

\item[\code{Expression}] Expression score

\item[\code{School}] The school to which a painter belongs, as indicated by a factor level
code as follows:
\code{"A"}: Renaissance;
\code{"B"}: Mannerist;
\code{"C"}: Seicento;
\code{"D"}: Venetian;
\code{"E"}: Lombard;
\code{"F"}: Sixteenth Century;
\code{"G"}: Seventeenth Century;
\code{"H"}: French.
}\end{Format}
\begin{Source}\relax
A. J. Weekes (1986)
\emph{A Genstat Primer.}
Edward Arnold.

M. Davenport and G. Studdert-Kennedy (1972) The statistical
analysis of aesthetic judgement: an exploration.
\emph{Applied Statistics}
\bold{21},  324--333.

I. T. Jolliffe (1986)
\emph{Principal Component Analysis.}
Springer.\end{Source}
\begin{References}\relax
Venables, W. N. and Ripley, B. D. (2002)
\emph{Modern Applied Statistics with S.} Fourth edition.  Springer.\end{References}

